Adobe Podcast: A web-based Adobe studio that records and transcribes audio, then lets you edit it by editing the transcript text. Scriberr: Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Adobe Podcast when transcribing a recorded interview or conversation and editing it down by editing the text matters most, and Scriberr when researchers and journalists generating diarized transcripts of recorded conversations matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
A web-based Adobe studio that records and transcribes audio, then lets you edit it by editing the transcript text.
Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
Adobe Podcast is a browser-based audio recording, transcription, and editing tool from Adobe. Its Studio records high-quality audio solo or with remote guests, capturing each participant as an individual track, then transcribes every word using the same transcription engine as Adobe Premiere Pro. The result is a text-based editing workflow: once a recording is transcribed, you cut, copy, paste, and delete words in the transcript and the corresponding audio (or video) is edited to match, so you edit sound like a document. It supports speaker detection to automatically label different speakers in the transcript. Beyond editing, it includes Enhance Speech to remove background noise and echo, and Mic Check, an AI analysis that diagnoses microphone problems before recording. It is aimed primarily at podcasters and creators producing spoken-word audio and video, but its transcription, speaker labeling, and voice-to-text capabilities make it usable for turning any recorded conversation into editable text. Adobe Podcast runs in the browser, with full Studio recording and editing officially supported in desktop Google Chrome.
Best suited for
Scriberr is an open-source, self-hosted audio transcription application aimed at people who want to keep recordings and transcripts on their own hardware. It uses the open-source Whisper family of models (via the WhisperX engine) to transcribe audio and video files entirely offline, with no requirement to send data to a cloud provider. The project is distributed under the MIT license and is packaged as a single binary, with a Go backend and a Svelte frontend compiled into the binary, while Python handles the underlying AI transcription. Beyond raw transcription, Scriberr can automatically detect and label different speakers (diarization), generate summaries using custom prompts, and let users chat with a transcript by connecting to Ollama or OpenAI-compatible providers. It includes a transcript reader with playback follow-along and seek-from-text, a built-in audio recorder, note-taking, and a folder watcher plus API endpoints for automation and integration with tools like n8n. The maintainer publicly noted development is paused but not abandoned, and community contributions are welcome; the most recent release at the time of review was v1.2.0 in December 2025. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Adobe Podcast is a free tier with paid upgrades (freemium); Scriberr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Adobe Podcast | Scriberr |
|---|---|---|
| Core capability | Word-for-word transcription using the same engine as Adobe Premiere Pro | Local, offline transcription using Whisper models via the WhisperX engine |
| Standout feature | Text-based audio/video editing: delete transcript text to cut the corresponding media | Automatic speaker diarization (who said what) |
| Team usage | Speaker detection to automatically identify and label speakers in the transcript | AI summaries with custom prompts via Ollama or OpenAI-compatible providers |
| Integrations | Studio recording of solo or remote-guest sessions with each participant on a separate track | Chat with your transcripts to ask questions and pull insights |
| Languages & capture | Enhance Speech to remove background noise and echo from voice recordings | Built-in audio recorder and note-taking on transcripts |
| Best-fit workflow | Mic Check AI analysis to diagnose microphone issues before recording | Folder watcher and API endpoints for automation workflows |
Adobe Podcast
Choose Adobe Podcast if you need transcribing a recorded interview or conversation and editing it down by editing the text — strengths include transcript-driven editing makes cutting and rearranging spoken audio fast and intuitive.
Scriberr
Choose Scriberr if you need privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure — strengths include fully self-hosted and offline, keeping audio and transcripts on your own hardware.
Adobe Podcast
Scriberr
It depends on your workflow. Adobe Podcast is strong for transcribing a recorded interview or conversation and editing it down by editing the text, while Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure. Both transcribe and summarize meetings.
Adobe Podcast is a free tier with paid upgrades and Scriberr is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
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